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DTSTART;TZID=Europe/Berlin:20210120T080000
DTEND;TZID=Europe/Berlin:20210316T170000
DTSTAMP:20260404T055504
CREATED:20210120T155303Z
LAST-MODIFIED:20210120T155303Z
UID:3583-1611129600-1615914000@eu-softcomp.net
SUMMARY:Two professorships in chemistry at Durham University\, UK
DESCRIPTION:Dear colleagues\, \nDurham University (UK) is seeking to appoint two talented individuals to the role of Professor of Chemistry with research and teaching interests in the broad fields of: \nPost 1. Organic or bio-organic functional materials chemistry (including synthetic chemical biology or biological chemistry\, catalysis\, polymers) \nPost 2. Experimental soft matter (including surfaces and interfaces) or polymer chemistry (including biopolymers and extended functional organic molecules). \nWe are particularly eager to hear from applicants with strengths in synthetic chemistry.  \nFurther details about the posts and how to apply can be found here: \nhttps://durham.taleo.net/careersection/du_ext/jobdetail.ftl?job=20000932&tz=GMT%2B00%3A00&tzname=Europe%2FLondon \nShould you wish to be considered for both positions\, there is no need to apply twice\, but please indicate as much in your application cover letter. \nDurham Chemistry is one of the very best UK chemistry departments with an outstanding reputation for excellence in teaching\, research and employability of our students.  The Department was ranked 1st for research impact and 5th overall in REF2014 (the most recent national research assessment in the UK) in terms of grade point average. It routinely features high in national league tables and is 2nd in the Guardian University League Table 2021 and 4th in the Complete University Guide 2021.  An overview of the Department of Chemistry can be found at: https://www.dur.ac.uk/chemistry/ \nIf you have any questions about these positions\, please contact Prof. Lian Hutchings (l.r.hutchings@durham.ac.uk) \nWith kindest regards\, \nLian Hutchings\nMark Miller
URL:https://eu-softcomp.net/events/two-professorships-in-chemistry-at-durham-university-uk/
CATEGORIES:Job Opportunities
ATTACH;FMTTYPE=image/jpeg:https://eu-softcomp.net/wp-content/uploads/2021/01/238-011a.jpg
ORGANIZER;CN="Mark Miller":MAILTO:m.a.miller@durham.ac.uk
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DTSTART;TZID=Europe/Berlin:20210214T080000
DTEND;TZID=Europe/Berlin:20210315T170000
DTSTAMP:20260404T055504
CREATED:20210221T174509Z
LAST-MODIFIED:20210221T174509Z
UID:3599-1613289600-1615827600@eu-softcomp.net
SUMMARY:Fully funded PhD on Machine Learning for Analysis of Nuclear Magnetic Resonance (NMR) Spectra at Ca’ Foscari University of Venice in collaboration with Zurich University of Applied Sciences ZHAW
DESCRIPTION:Title: Machine Learning for Analysis of Nuclear Magnetic Resonance (NMR) Spectra \n  \nThe PhD in Science and Technology of Bio and Nanomaterials\, will be awarded by Ca’ Foscari University of Venice. \nhttps://www.unive.it/pag/33115/ \n  \nWe offer a four year position: The PhD student will spend three years in Venice and one year at Zurich University of Applied Sciences (in Winterthur\, close to Zurich). For the year in Switzerland a significant higher compensation is offered due to the higher cost of living in the Zurich area. \n  \nYour responsibilities: \n\nDevelop machine learning tools for the analysis of NMR spectra\nBecome an expert in the field of machine learning for NMR technology\, with a track record of published own research results and successful technology transfer\nApply for the PhD Program at Università Ca’ Foscari Venice.\n\n  \nThe successful candidate has finished a Master’s degree in physics\, physical chemistry\, or computer science at a research university or a university of applied sciences within the last two years. He or she must have reliable experience in neural networks (e.g.\, done coursework and own experimentation\, ideally proven by successful projects or publications). We expect a good command as well as a passion for programming\, ideally in python. Good communication skills in English are also crucial for the work in multidisciplinary teams. The ideal candidate has sound knowledge of Nuclear Magnetic Resonance and is interested in understanding the underlying quantum mechanics. The PhD candidate will be part of an interdisciplinary team of researchers at Ca’ Foscari University of Venice and ZHAW. Particular emphasis is given to developing prototypes\, experimenting hands-on with data\, and scientific evaluation and publication of results. \nPlease address further enquiring to Prof. Achille Giacometti (achille.giacometti@unive.it). \n  \nZurich University of Applied Sciences ZHAW is one of Switzerland’s largest multidisciplinary universities of applied sciences\, with over 13\,000 students and 3\,000 faculty and staff. \n  \nAs one of the leading Engineering Faculties in Switzerland\, the ZHAW School of Engineering (SoE) emphasises topics which will be relevant in the future. Our 13 institutes and centres guarantee superior-quality education\, research and development with a focus on the areas of energy\, mobility\, information and health. \n  \nSince 2013 the Institute of Applied Mathematics and Physics (IAMP) has teamed up with five other institutes from three departments to establish one of the first interdisciplinary Data Science Centres in Europe – the ZHAW Datalab (www.zhaw.ch/datalab). It runs a focus area on deep learning methodology\, spanning several research groups\, with several multi-year research projects on the applicability of reinforcement learning to areas from home automation to applications in medical technology. \n  \nWithin the Research Group Applied Complex Systems Sciences  of the Institute of Applied Mathematics and Physics (www.zhaw.ch/iamp )\, we are looking for a highly motivated and excellent candidate as:
URL:https://eu-softcomp.net/events/fully-funded-phd-on-machine-learning-for-analysis-of-nuclear-magnetic-resonance-nmr-spectra-at-ca-foscari-university-of-venice-in-collaboration-with-zurich-university-of-applied-sciences-zh/
CATEGORIES:Job Opportunities
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Berlin:20210226T080000
DTEND;TZID=Europe/Berlin:20210420T170000
DTSTAMP:20260404T055504
CREATED:20210301T132339Z
LAST-MODIFIED:20210301T132339Z
UID:3604-1614326400-1618938000@eu-softcomp.net
SUMMARY:Funded PhD studentship at Durham University (UK)
DESCRIPTION:A fully funded PhD studentship is available in the group of Mark Miller in the Chemistry Department of Durham University (UK) to start in October 2021.  The deadline for applications is 19 March. \nThe project is entitled “Predictive simulations of molecules in membranes” and will focus on developing quantitative coarse-grained models that work over a broad chemical space.  One of the key aims is to predict partitioning of and interaction between molecules in lipid bilayers\, taking into account the dependence of these properties on the composition of the bilayer itself. \nThe studentship is for four years and is funded by an Industrial CASE award from Unilever and EPSRC (the UK’s Engineering and Physical Sciences Research Council). \nCandidates should have (or be about to obtain) a strong degree in chemistry\, chemical physics\, or closely related discipline.  Experience of molecular dynamics simulation and of programming is highly desirable. \nDurham University has particular strengths in computational chemistry and in soft matter.  We have an interdepartmental Centre for Soft Matter and host the EPSRC Centre for Doctoral Training in Soft Matter for Formulation and Industrial Innovation (SOFI2) with the Universities of Leeds and Edinburgh.  Durham itself is a picturesque medieval city in the northeast of England\, centred on a World Heritage Site. \nFor full details of the studentship and how to apply\, please see https://www.findaphd.com/phds/project/predictive-simulations-of-molecules-in-membranes/?p130265
URL:https://eu-softcomp.net/events/funded-phd-studentship-at-durham-university-uk/
CATEGORIES:Job Opportunities
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